{"access":{"catalog_url":"https://aidevboard.com/api/v1/catalog","description":"Public read endpoints are open and free. API keys are optional for stable agent identity and keyed hourly throttling.","docs_url":"https://aidevboard.com/docs","employer_pilot_url":"https://aidevboard.com/verified-interview-pilot","mode":"open","register_url":"https://aidevboard.com/api/v1/register"},"candidate_resume_action":{"application_authorized":false,"candidate_charge":0,"endpoint":"https://aidevboard.com/api/v1/candidate/resume-preview","job_id_json_path":"jobs[].id","method":"POST","preview_requires_identity":false,"required_body_fields":["job_id","evidence_bullets"],"requires_explicit_human_review":true,"saved_artifact_protocol":"mcp","saved_artifact_requires_verified_human":true,"saved_artifact_tool":"compile_job_specific_resume","search_requires_identity":false,"status":"available_after_candidate_selects_job","submission_performed":false,"uses_candidate_verified_evidence":true},"degraded":false,"estimated":false,"has_next":true,"jobs":[{"id":"dde20c9f-561a-4f7f-bc17-cbce490cd4b4","company_id":"e3915539-5a8f-4461-9f26-06366a918674","title":"Legal Operations Tech and AI Enabler","slug":"legal-operations-tech-and-ai-enabler-d39c1c40","description":"Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.\n ABOUT THE TEAM\n The Legal Operations team is responsible for optimizing the efficiency and effectiveness of the Legal Department at Anduril and works cross-functionally to streamline workflows, automate routine tasks, implement best practices and support regulatory compliance efforts. With the overarching aim of supporting the Company’s overall strategic goals, the Legal Operations team acts as a bridge between legal, the Company’s business units, and outside counsel.\n ABOUT THE JOB\n We are looking for a Legal Operations Engineer to join our rapidly growing team on-site in Costa Mesa, California. This is a hands-on technical execution role where you’ll serve as the operational backbone for the Legal Department’s technology ecosystem for our fast-paced, multi-disciplinary team. You will spend real time in Jira, Airtable, Foundry, our CLM, and the seams between them. Expect to move between a same-day fix for a business partner who can't get a document routed, a data cleanup across a few thousand contract records, and a configuration change that shaves a step out of an approval chain. You will become a member of the team who knows how every one of these systems actually behaves, not just how it is supposed to work, which is the foundation for designing the next generation of them. As you build that fluency and demonstrate technical judgment, the work shifts from maintaining to building: scoping requirements, designing automated workflows, and eventually taking point on new system implementations as this function grows. If you are scrappy, technically curious, allergic to manual work a machine could do, and comfortable being the person who gets pinged when a workflow breaks, this role is for you.\n WHAT YOU'LL DO\n Systems Administration \u0026 Operational Excellence \n \n Integrate into the Legal Department's intake and support queue in Jira - triaging tickets, setting expectations, resolving requests, and escalating what needs a lawyer's judgment to gain first-hand knowledge of our fundamental workflows\n Serve as frontline administrator and first responder for our legal systems, including CLM, e-signature, matter management, document management, e-billing, and AI tooling - access, permissions, templates, configuration, and break/fix\n Monitor existing automations and integrations for failures, diagnose root causes, and fix them\n Execute recurring operational work: user provisioning and offboarding, template updates, approval routing changes, access reviews, and system hygiene checks\n Maintain data integrity and quality across contract and matter management systems - establishing metadata standards, field hygiene, bulk updates, deduplication, and cleanup ahead of reporting cycles\n Produce and refresh recurring reporting and dashboards on cycle times, request volume, contract throughput, and outside counsel spend\n \n Process Improvements \n \n Make incremental improvements to existing workflows: reduce manual steps, tighten validation, add conditional logic, eliminate the failure modes you keep seeing in the queue\n Build automations and integrations to close gaps between systems using no-code/low-code platforms, APIs, and scripting\n Track recurring pain points from the ticket queue and surface them to Legal Ops with a proposed fix and a rough sense of effort\n Assist with data migrations and configuration changes during larger Legal Ops initiatives\n Support AI tooling in the department - prompt and template maintenance, output quality spot-checks, and honest reporting on where the tool isn't working\n \n Growing into \n \n Driving tool adoption through training, office hours, and enablement materials - including the follow-up that turns a launched tool into one people actually use\n Scoping and designing new workflows and lightweight applications from ambiguous requirements, with increasing autonomy over time\n Translating what lawyers, paralegals and peer operations associates need into technical requirements, then building, documenting, and supporting the result\n Taking a lead technical role in new system implementations and vendor evaluations\n Partnering with IT, Security, Procurement, and Finance on integrations, vendor onboarding, data handling, and export control requirements\n Shaping the technical dir","salary_min":116000,"salary_max":154000,"location":"Costa Mesa, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"junior","tags":["llm","payments","api-design","computer-vision","legal"],"apply_url":"https://boards.greenhouse.io/andurilindustries/jobs/5264938007?gh_jid=5264938007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-13T22:32:16Z","expires_at":"2026-11-13T16:57:15.832198Z","created_at":"2026-10-14T15:21:00.965332Z","updated_at":"2026-10-14T16:57:15.835205Z","company_name":"Anduril","company_slug":"anduril","company_logo_url":"https://www.google.com/s2/favicons?domain=anduril.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/dde20c9f-561a-4f7f-bc17-cbce490cd4b4"},{"id":"32e747ed-8b79-450b-9035-c6baf08039fa","company_id":"82d2abc2-444c-4d89-9646-4739e72d700d","title":"Senior Machine Learning Engineer","slug":"senior-machine-learning-engineer-2cccd4cc","description":"About Checkr Checkr is building the data platform to power safe and fair decisions. Over 140,000 companies and millions of people rely on Checkr for AI verification in the moments that matter most: getting a new job, a new place to live, a car ride, childcare, even a date. Customers include Uber, Pennymac, Airbnb, Doordash, and Anthropic. We’re a team that thrives on solving complex problems with innovative solutions that advance our mission. Checkr is recognized on Forbes Cloud 100 2025 List and is a Y Combinator 2024 Breakthrough Company .\n About the team/role \n We’re hiring an ML Engineer (P3) to build and ship the AI systems that power Checkr’s core products. This role sits on the ML team inside Checkr’s Data \u0026 ML organization within Engineering.\n Checkr runs millions of background checks a year. The ML team builds the systems that make those checks faster, more accurate, and cheaper to operate: document processing, charge classification, entity resolution, and in-product intelligence. These are production services that Product Engineering depends on daily.\n This is not a research role or a notebook role. You’ll own ML services end-to-end: design them, code them, deploy them, monitor them. We need someone who writes production software, builds with LLMs and APIs as first-class tools, and can tell the difference between working code and AI slop. If you’ve spent the last few years building AI-native software and you care deeply about engineering craft, we want to talk.\n This role sits in the central Data \u0026 ML team within the Engineering organization. You will partner daily with Product Engineering, Product, and cross-functional teams. You’ll also contribute to Checkr’s broader AI strategy, including our initiative to deploy our agentic fleet and build scalable context with our semantic layer.\n We are looking for someone based in San Francisco who has built ML systems in fast-moving, impact-first environments. Less process, more shipping. Less paperwork, more results.\n What you’ll do \n \n Build and deploy ML/AI services. Design, develop, and ship ML models and AI systems that Product Engineering teams rely on. You write the model code, the API layer, the monitoring, and the tests. Not notebooks; production services.\n Design with LLMs and APIs. Use LLM APIs (OpenAI, Anthropic, etc.) as building blocks in production systems. You know when to call an LLM, when to fine-tune, when to use a classical model, and when to write a rule. You think about cost, latency, and quality together.\n Ship production software. Write clean, well-structured code with solid OOP, proper abstractions, error handling, and tests. Your code gets reviewed by SWEs and passes. CI/CD is how you work, not something you bolt on at the end.\n Partner with product and engineering. Translate business problems into ML solutions. Define API contracts with product engineers. Explain your approach clearly to non-ML partners and leave the room with alignment, not confusion.\n Evaluate and iterate fast. Build evaluation frameworks, run experiments, and make data-driven decisions about model and system performance. Ship and iterate; don’t wait for perfect.\n Ship AI-powered workflows. Put AI to work on your own processes: automate pipelines, build agentic workflows, and contribute reusable skills and context to Checkr’s agentic platform. The expectation is that our teams operate AI-first.\n \n  \n What you bring \n \n A Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related technical field, or equivalent depth from experience\n 6+ years building software professionally, with at least 2 of those building ML systems that run in production\n Strong Python fluency; you write clean, testable, well-structured code with solid OOP instincts. Hands-on experience using LLM APIs in production systems: prompt engineering, structured outputs, function calling, cost management, and evaluation\n You’ve built and maintained APIs, worked with CI/CD pipelines, and shipped code that other engineers depend on\n Comfort with and enthusiasm for AI-assisted workflows; experience using LLMs, code-generation tools, or agentic systems in production or operational contexts is a strong signal\n You use AI tools (Copilot, Claude, etc.) to move faster, but you understand every line they produce. You can spot AI slop and you don’t ship it\n An A-player mindset with a strong bias for action: you raise the bar, move with urgency, stay resilient through ambiguity, and take ownership to deliver meaningful outcomes. \n \n Nice to have \n \n Experience with MLOps platforms (MLflow, SageMaker, Vertex, or similar)\n Background in document processing, OCR, or information extraction\n Experience with PySpark or large-scale data processing\n Ruby experience (Checkr’s platform runs on Rails)\n Familiarity with compliance-sensitive domains (fintech, legal tech, HR tech)\n Working knowledge of dbt, Snowflake, or modern ELT/data transformation tools\n Pay Transparen","salary_min":176000,"salary_max":207000,"location":"Denver, CO","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["agents","code-generation","payments","legal","llm","mlops","machine-learning"],"apply_url":"https://job-boards.greenhouse.io/checkr/jobs/8274246","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-12T16:04:33Z","expires_at":"2026-11-13T16:58:42.655818Z","created_at":"2026-10-14T15:22:20.04347Z","updated_at":"2026-10-14T16:58:42.658798Z","company_name":"Checkr","company_slug":"checkr","company_logo_url":"https://www.google.com/s2/favicons?domain=checkr.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/32e747ed-8b79-450b-9035-c6baf08039fa"},{"id":"c3e4ef9c-03db-471a-a384-685b963ad567","company_id":"a0000000-0000-0000-0000-000000000001","title":"Senior+ Software Engineer, Legal Tech","slug":"senior-software-engineer-legal-tech-2d4cba53","description":"About Anthropic \n Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.\n About the role\n Anthropic's Legal Tech engineers play a specialized and critical role in keeping Claude at the frontier. Partnering closely with counsel, we provide custom infrastructure and guidance for complex, novel technical matters, empowering teams across the company to continue meeting our legal obligations as we innovate.\n As a Senior+ Software Engineer on our Legal Tech team, you'll build dedicated, highly secure, and reliable cloud environments and data processing and storage capabilities at speed and scale. You will own your scope end to end: from raw requirements all the way through to large-scale production systems that satisfy legal invariants and unlock new possibilities. The systems you build won't just be dependable and scalable; they'll be interpretable and auditable, demonstrating to skeptical audiences exactly how they worked and why results can be trusted.\n You'll be an essential member of a collaborative team, working together to solve difficult problems against fixed deadlines. You will own internal customer relationships as well: you'll gather, prioritize, and coordinate needs from colleagues on Privacy, Security, Research, and/or Infra as well as Legal, to ship the right capabilities on the right timelines. You'll act as a trusted advisor: clearly explaining technical concepts and constraints to inform legal decisions, and proactively designing new approaches to prevent classes of problems. Your infrastructure expertise will directly empower our business to calibrate and manage risk, innovating faster thanks to systems that build in legal considerations.\n Key responsibilities\n \n \n Build and operate dedicated cloud infrastructure, storage, and data pipelines for specialized workloads that can't run on general-purpose systems\n \n Design architectures with excellent security, privacy, reliability, scalability, and auditability baked in\n \n Partner with a wide range of internal customer teams to translate requirements into sound approaches and realistic ETAs\n \n Deliver against fixed deadlines\n \n Support complex and novel legal requests on controlled infrastructure, with verifiable chain of custody\n \n Pair with engineering teams across the company to extend existing infrastructure to support new workflows and/or legal requests\n \n Work with nontechnical stakeholders to clarify their needs through responsive, easy-to-follow dialogue\n \n Minimum qualifications\n \n \n Experience designing, building, and operating highly trusted infrastructure and data systems in production, including owning architectural decisions\n \n Experience working across large, complex, multi-team environments, including in stacks and code you don't own\n \n Ability to take ownership of a cloud account and secure it end to end (networking, storage, identity, encryption, least-privilege provisioning, etc.) on AWS and/or GCP\n \n Ability to translate legal and privacy requirements into sound technical designs and implementations that teams are excited to adopt\n \n A habit of verifying rather than assuming: designing checks for invariants and plainly naming what isn't proved\n \n Self-directed in a high-change environment, and comfortable resequencing quickly when new needs emerge\n \n Clear communication with nontechnical stakeholders, and an understanding of their needs\n \n Preferred qualifications\n \n \n Software engineering experience with an infrastructure, data, privacy, and/or security focus\n \n Proficiency with large-scale data tooling, such as distributed processing, lakehouse table formats, and/or query engines\n \n Understanding of data processing pipelines, LLM training, and/or provenance and lineage\n \n Experience with secure enclaves, confidential computing, clean rooms, or other purpose-built environments for sensitive data\n \n Background in eDiscovery, litigation support, or records retention at scale, including chain of custody and verifiable integrity\n The annual compensation range for this role is listed below. \n For sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.\n Annual Salary:\n $320,000 — $485,000 USD \n Logistics \n Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience\n Required field of study:  A field relevant to the role as demonstrated through coursework, training, or professional experience\n Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position\n Location-based hybrid policy: Currently, we expect all ","salary_min":320000,"salary_max":485000,"location":"San Francisco, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["alignment","llm","cloud","data-pipeline","legal","infrastructure"],"apply_url":"https://job-boards.greenhouse.io/anthropic/jobs/5435665008","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-09-29T01:56:42Z","expires_at":"2026-11-13T16:54:56.468394Z","created_at":"2026-10-14T15:17:22.938503Z","updated_at":"2026-10-14T16:54:56.472145Z","company_name":"Anthropic","company_slug":"anthropic","company_logo_url":"https://www.google.com/s2/favicons?domain=anthropic.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/c3e4ef9c-03db-471a-a384-685b963ad567"},{"id":"53da8665-dbaa-4963-8789-47e18de045e6","company_id":"52f44519-9f93-4eac-ae0b-8be13e385ebe","title":"Legal Operations Manager","slug":"legal-operations-manager-98cdf330","description":"LEGAL OPERATIONS MANAGER\n\n\n\nYou'll be the operational engine behind how Firecrawl's legal function actually runs. Reporting to the General Counsel, this is a build-from-scratch role: as we scale, someone has to stand up the systems, processes, and vendor relationships that let a lean legal team keep pace with a company growing this fast. That's you.\n\nThis is not primarily an administrative job. It's an operational build role for someone who is genuinely energized by designing systems from nothing, who can pick up a messy process and turn it into something repeatable that engineers, salespeople, and executives actually use. You'll work across commercial contracting, compliance, legal technology, product, and regulatory matters, not by practicing law, but by building the machinery that lets the lawyers move fast.\n\nWe care more about judgment, ability, and initiative than about the path you took to get here.\n\n\n\nSalary Range: $140,000–$160,000 USD/year (Range shown is for US-based employees in San Francisco, CA. Compensation is adjusted fairly based on your location's cost of living.)\n\nEquity Range: Competitive equity. Details shared during the process.\n\nLocation: Location: San Francisco, CA (SF HQ). Hybrid, onsite 3+ days a week. Open to remote within US time zones (UTC-5 to UTC-10) for the right candidate.\n\nJob Type: Full-Time\n\nExperience: Flexible. We're looking for demonstrated high achievement, exceptional organization, and high agency. Background matters less than what you've owned (see below*)\n\nWork Authorization: Open to candidates already authorized to work in the US or Canada. In the US, we also support H-1B transfers, F-1 OPT and STEM OPT, TN (Canada and Mexico), and E-3 (Australia). We’re not able to sponsor new H-1B visas for candidates outside the US. For Canada, we’ll consider work permit sponsorship case by case through our Toronto Hub.\n\n\n\n\nABOUT FIRECRAWL\n\nFirecrawl is the easiest way to turn the web into data AI agents can use. One API call converts any URL into clean, LLM-ready markdown or structured data. It's the boring-hard problem everyone building with LLMs eventually hits, solved.\n\n\nIn September 2026 we raised a $75M Series B led by Smash Capital, and we're spending it building the largest repository of knowledge in the world. We hit 8 figures in ARR in year one and more than doubled it in year two. We have 183k+ GitHub stars, putting us in the top 50 repositories of all time, and developers, agents, and category-defining AI companies build on us every day. Growth like this is rare, and we're just getting started.\n\n\nWe're a small team punching far above our weight, working out of SF HQ and our new Toronto Hub. Everyone here owns a real piece of the product and company, end to end, and runs it themselves. No hiding behind process or headcount.\n\n\nThis is a place for people who want to work at the frontier: an AI company building the infrastructure other AI companies run on, not one bolting AI onto an existing product. We move fast, go deep, and are building the tools superintelligence will rely on to gather data from the web. That library is called Alexandria, and it starts now.\n\n\n\n\nWHAT YOU'LL DO\n\n - Build and maintain the contract management, legal operations, and compliance systems the function runs on\n\n - Own the legal technology stack: CLM, e-billing, matter management. Pick the tools, run them, make them work\n\n - Build and run contract intake and routing, from first request to signature\n\n - Take on the creative and novel tasks that don't require a law degree but do require someone reliable to own them end to end\n\n - Support the legal team on research, regulatory monitoring, and special projects\n\n - Work with finance, sales, product, engineering, HR, and security to keep legal workflows moving\n\n - Manage outside counsel and legal vendor relationships, including billing, budgets, and engagement terms\n\n - Find the repetitive work and standardize, automate, or kill it with technology and AI\n\n - Track legal spend, contract volume, and turnaround time, and report out on where things actually stand\n\n - Take on more ownership over time, shaped by what you're good at and what you want to get good at\n   \n   \n\n\nWHAT WE'RE LOOKING FOR\n\nStrong candidates may come from legal operations, contracts, compliance, business operations, consulting, technology, professional services, or somewhere else entirely. What matters is that the work was complex and you were the one who owned the details.\n\n - You process a lot of AI output without shipping slop. You can run large volumes of AI-generated content through your own judgment and have what comes out the other side be right. This is the single most important thing on this list\n\n - You drive projects to done independently. Nobody is going to hand you a plan or check your work at every step\n\n - You've built or meaningfully improved a process, not just maintained one that was already there\n\n - You turn a vague ask into a working process. Undefined sco","salary_min":140000,"salary_max":160000,"location":"San Francisco, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"mid","tags":["data-pipeline","agents","legal","payments","llm"],"apply_url":"https://jobs.ashbyhq.com/firecrawl/b1db13d1-402c-40e9-95fa-4ac67bacb078/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-09-22T16:55:04.775Z","expires_at":"2026-11-13T17:00:14.056622Z","created_at":"2026-09-08T13:46:21.349109Z","updated_at":"2026-10-14T17:00:14.060281Z","company_name":"Firecrawl","company_slug":"firecrawl","company_logo_url":"https://www.google.com/s2/favicons?domain=firecrawl.dev\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/53da8665-dbaa-4963-8789-47e18de045e6"},{"id":"92c1d044-68e6-4bb6-bfe4-287d9a4e4ddd","company_id":"04d3ff8c-0682-4f36-8632-7ce58c930bbd","title":"Senior AI Engineer, Post-Training ","slug":"senior-ai-engineer-post-training-60b8ba95","description":"The Company You’ll Join\n Carta is the connected platform and AI-native ecosystem for private capital. Built to replace fragmented tools with a single system of record, Carta brings together the software, services, and legal infrastructure that founders use to manage equity, fund managers use to run administration and reporting, and legal teams use to close transactions. Trusted by 55,000 companies and 1.8M+ equity holders in 160+ countries, and 10,000 funds and SPVs representing $250B+ in assets under management, Carta is transforming how private capital operates. Recognized by Fortune, Forbes, Fast Company, Inc. and Great Places to Work.\n For more information about our offices and culture, check out our Carta careers page .\n The Team You'll Work With \n You’ll join Carta’s ML Engineering team, embedded in Carta Law, our legal tech platform built around autonomous AI agents, specialized legal models, document intelligence and contract workflows. You’ll have end-to-end ownership across model development and applied AI, from post-training and evaluation through model serving and the agents and systems built around those models. You'll work closely with the engineers building the product and bringing these capabilities to users.\n The Problems You'll Solve \n As an AI Engineer, you will lead technically complex, model-centric projects and serve as a multiplier for your team. You will:\n \n Post-train open-weight language models on proprietary legal data, owning the model development lifecycle end-to-end, from data, objective design, and base-model selection through training, evaluation, and iteration.\n Apply the right training techniques for the problem, including supervised fine-tuning, preference optimization, reinforcement learning, and related methods, with careful attention to reward and grader design, model behavior, and evaluation.\n Build and improve training datasets and data pipelines, including labeling guidance, model-generated data, and human feedback loops with domain experts.\n Own the training stack needed to run experiments reliably, using managed or self-hosted infrastructure as appropriate, and understand distributed training well enough to diagnose and optimize training runs.\n Build and operate the systems that take models into production, including model serving, agents, evaluation pipelines, and the surrounding tooling and infrastructure.\n Partner with product and agent engineers on model/system co-design, deciding what belongs in the model versus the agent harness, tools, context, and workflow.\n Work directly with lawyers and other domain experts to translate real workflows into model, data, and evaluation decisions.\n \n About You \n \n Technical Depth: You have hands-on experience with LLM post-training using PyTorch or equivalent frameworks, and understand the training, evaluation, and inference systems around them. You are equally comfortable building the product around the model, including agents, tools, services, and production infrastructure. You can work across model and product engineering problems as needed. You stay current on open-weight models and post-training techniques.\n Execution: You have owned model development or post-training work in applied settings and built AI systems around those models that shipped to real users. You can turn ambiguous product or model problems into tractable technical work, make pragmatic trade-offs across research and engineering, and drive projects from idea through production with minimal guidance.\n Strategic Mindset: You have strong judgment on model selection, data, training objectives, and evaluation, and know when training is the right lever versus improving the agent, tools, context, or broader product. You can make and defend those decisions with data and communicate them clearly across technical and domain teams.\n Experience: You have done ambitious work in AI, applied research, or adjacent engineering roles, with meaningful ownership of the models or systems you built. You can point to work that materially improved model capability or product outcomes. Your experience spans both model-level training work and the product and engineering systems around it, from shaping the technical approach through putting it into production.\n \n At Carta, you’re not just an employee. You’re a builder who is creating  infrastructure that accelerates innovation and empowers more ownership. Cartans are helpful, relentless, unconventional and kind; representing Carta’s Identity Traits. They work collaboratively and cross functionally  to challenge the status quo; working towards a common goal of creating more owners in the private markets. \n Salary \n Carta’s compensation package includes a market competitive salary, equity for all full time roles, exceptional benefits, and, for applicable roles, commissions plans. Our minimum cash compensation (salary + commission if applicable) range for this role is:  \n \n \n  $242,250 - $285,000 in San Francisc","salary_min":242250,"salary_max":285000,"location":"San Francisco, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["fine-tuning","distributed-systems","legal","data-pipeline","llm","pytorch","reinforcement-learning","mlops"],"apply_url":"https://job-boards.greenhouse.io/carta/jobs/7992629003","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-09-21T15:35:33Z","expires_at":"2026-11-13T17:03:24.033015Z","created_at":"2026-10-14T15:25:27.580874Z","updated_at":"2026-10-14T17:03:24.036368Z","company_name":"Carta","company_slug":"carta","company_logo_url":"https://www.google.com/s2/favicons?domain=carta.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/92c1d044-68e6-4bb6-bfe4-287d9a4e4ddd"},{"id":"fcbda9e7-0967-415e-bb25-4c87e2b995b2","company_id":"82d2abc2-444c-4d89-9646-4739e72d700d","title":"Senior Engineering Manager, Machine Learning","slug":"senior-engineering-manager-machine-learning-813e6eec","description":"About Checkr Checkr is building the data platform to power safe and fair decisions. Over 140,000 companies and millions of people rely on Checkr for AI verification in the moments that matter most: getting a new job, a new place to live, a car ride, childcare, even a date. Customers include Uber, Pennymac, Airbnb, Doordash, and Anthropic. We’re a team that thrives on solving complex problems with innovative solutions that advance our mission. Checkr is recognized on Forbes Cloud 100 2025 List and is a Y Combinator 2024 Breakthrough Company .\n We are hiring a Senior Engineering Manager to lead the Machine Learning Engineering team inside Checkr’s Data \u0026 ML organization. This team sits at the heart of our product's strategic advantage, making millions of background checks faster, more accurate, and more trustworthy.\n The team owns three connected areas:\n \n Core product intelligence: NLP and classification systems, entity resolution, profile integrity, model accuracy, and the production services that power Checkr’s products.\n Workforce integrity: resume and identity fraud, multi-signal risk detection, and new products that help customers identify sophisticated hiring fraud\n ML and agent infrastructure: evaluation systems, observability, model lifecycle, agent orchestration, and reusable infrastructure that helps every team ship reliable AI faster.\n \n This is an engineering leadership role, not a research-management role: you will lead ML engineers across seniority levels, stay close enough to the work to set technical direction, and hold the team accountable for production outcomes. You will decide where ML should continue to create a strategic advantage for Checkr.\n You will also shape Checkr’s broader AI strategy. The near-term agenda includes building a measurable accuracy moat in our core products, launching an end-to-end workforce-integrity product, and creating the evaluation and knowledge infrastructure required to operate AI agents in a regulated domain. This role reports to the Sr. Director of Data \u0026 ML within Engineering. This role is based in San Francisco. We are looking for someone who is seeking less process and more shipping, less paperwork and more results.\n What you’ll do \n \n Lead and grow the ML Engineering team . Hire, coach, and develop ML engineers. Set clear ownership, grow technical leaders, and build a team that generates its own roadmap.\n Set the strategy and roadmap . Turn ambiguous company priorities into a focused, multi-quarter ML agenda. Put investment on work that improves customer outcomes, revenue, accuracy, reliability, or cost. Stop work that does not.\n Raise the production engineering bar . Models and agents ship as dependable software: clear APIs, tests, CI/CD, observability, on-call ownership, and defined reliability targets.\n Build the ML operating model. Establish shared approaches to evaluation, golden sets, training-data provenance, model and prompt versioning, monitoring, retraining, latency, and cost. Replace artisanal evaluation with repeatable systems.\n Advance core product intelligence . Guide systems for classification, information extraction, entity resolution, profile integrity, and accuracy. Make model quality measurable in production and drive the feedback loops that improve it.\n Launch new AI and fraud products . Partner with Product, Security, Operations, and go-to-market teams to turn signals across identity, resume, device, and employment data into customer products.\n Lead Checkr’s agentic transition . Guide the design of AI systems that combine specialized models, LLMs, tools, and governed knowledge. \n Operate as an executive partner . Explain technical choices and risks in plain language. Align Product Engineering, Product, Operations, Legal, Security, and company leadership when incentives or constraints conflict.\n Model AI-native leadership . Use AI to increase the team’s speed and ambition. Keep ownership of every output. As generated code becomes cheaper, raise the bar on judgment, verification, and system design.\n \n What you bring \n \n 10+ years building software and machine learning or AI systems, with a clear progression in scope and impact.\n 3+ years managing ML or software engineers, including hiring and developing senior and staff-level technical leaders.\n A strong software-engineering foundation and a record of shipping ML systems that run in production.\n Technical depth across the ML lifecycle: data and labeling, experimentation, model selection, deployment, APIs, CI/CD, observability, evaluation, retraining, and incident response.\n Sound judgment across classical ML, deep learning, LLMs, rules, and conventional software.\n Experience setting direction for NLP, classification, extraction, entity resolution, risk, fraud, recommendation, or similarly complex applied-ML domains.\n Fluency with modern LLM systems, including structured outputs, tool use, agent orchestration, retrieval, evaluation, latency, quality, and cost trade-off","salary_min":302000,"salary_max":355000,"location":"San Francisco, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["healthcare","deep-learning","mlops","legal","llm","nlp","payments","agents"],"apply_url":"https://job-boards.greenhouse.io/checkr/jobs/8178764","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-09-08T20:16:47Z","expires_at":"2026-11-13T16:58:42.651182Z","created_at":"2026-09-09T13:41:56.337558Z","updated_at":"2026-10-14T16:58:42.654159Z","company_name":"Checkr","company_slug":"checkr","company_logo_url":"https://www.google.com/s2/favicons?domain=checkr.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/fcbda9e7-0967-415e-bb25-4c87e2b995b2"},{"id":"a8bfa422-da52-4371-aecb-c64631f4aaa0","company_id":"d3f1a010-47af-48d2-8b4e-a5953078daac","title":"Senior Product Operations Manager, Evaluation Quality","slug":"senior-product-operations-manager-evaluation-quality-cc54ed93","description":"WHY HARVEY\n\nAt Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.\n\nThis is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.\n\nOur team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.\n\nAt Harvey, the future of professional services is being written today — and we’re just getting started.\n\n\n\n\nROLE OVERVIEW\n\nWe’re looking for a senior operator to own the quality bar behind Harvey’s human evaluations. As we scale globally, the volume of eval work is growing 10x, but volume only matters if the output is trusted. This role makes Human Data’s signal decision-grade: rigorous, calibrated, and reproducible enough that Product, Engineering, and AI Research act on it to ship.\n\n\n\nAs a member of our Evaluation Operations team, you’ll work alongside our Evaluation Operations Manager (who runs throughput and coordination) and partner closely with Applied Legal Researchers, Product, Engineering, and AI Research. You'll set the standard for what \"good\" looks like across eval data and methodology, and own the data analyses to make conclusions that teams will rely on, building the stakeholder trust that lets EPD act on the signal.\n\n\n\n\nWHAT YOU'LL DO\n\n - Own the quality bar for Harvey’s human evaluations: define what “good” looks like for eval methodology and data analysis, and produce decision-grade outputs for EPD\n\n - Author and maintain the evaluation guidelines, instructions, and databases that contract attorneys work from\n\n - Standardize and streamline rubric and evaluation design into repeatable templates and one documented methodology, partnering with Applied Legal Research (ALR), who supplies feature-specific legal depth\n\n - Own contract-attorney quality: onboarding, calibration training, inter-rater reliability, and the feedback loop (including benchmarks and gold references) that keeps judgment consistent across attorneys and over time\n\n - Conducting quantitative and qualitative statistical analyses, diagnosing error states, investigating root causes, and turning raw eval results into a structured, prioritized signal Product and ALR can act on\n\n - Run QA on vendor and contract-attorney deliverables against a defined bar before results inform a launch decision\n\n - Ensure the quality bar holds across jurisdictions and non-English geographies as coverage expands\n\n - Establish one standard, documented way to analyze eval results, and build lightweight operational dashboards to track rater capability and eval-program health\n\n - Support ALR in a review step that certifies an evaluation is sound before it scales to contract attorneys\n\n - Partner with ALR and Analytics to determine where human eval aligns with online signal and where it can provide expanded insights\n\n\n\n\nWHAT YOU HAVE\n\n - 6+ years in product operations, research operations, evaluation/QA operations, or quality program management\n\n - A track record of owning quality inputs (guidelines, instructions, benchmarks, QA procedures) for complex, expert-driven or human-in-the-loop work\n\n - Experience onboarding, training, and calibrating a distributed pool of expert raters, annotators, or reviewers, and running the feedback loop that improves their quality over time\n\n - Enough grounding in measurement concepts (calibration, inter-rater reliability, sampling, rubric design) to independently set up and own the quality of our evaluation loop yourself\n\n - Experience with running quantitative and qualitative data analyses, interpreting and running statistical tests on evaluation data (natively or with AI tool support), and communicating conclusions to various stakeholders\n\n - A record of scaling and streamlining evaluation quality processes under shipping pressure, with a bias toward documentation and reproducibility over one-off analysis\n\n - Ability to work deeply with domain experts (e.g., ALR / lawyers) and translate nuanced judgment into repeatable, documented standards\n\n - Strong cross-functional coordination across Product, Engineering, Research, ALR, and data providers/vendors\n\n - Clear communicator who can build credibility and tru","salary_min":155400,"salary_max":233200,"location":"San Francisco, CA","workplace":"remote","remote_scope":"unknown","job_type":"full-time","experience_level":"senior","tags":["legal","llm","agents","evaluation"],"apply_url":"https://jobs.ashbyhq.com/harvey/f0e4e24a-2a7a-4fc4-8872-9a8a762fecf5/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-04T16:25:51.563Z","expires_at":"2026-11-13T16:55:18.139697Z","created_at":"2026-08-25T18:26:48.998981Z","updated_at":"2026-10-14T16:55:18.142467Z","company_name":"Harvey AI","company_slug":"harvey-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=harvey.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/a8bfa422-da52-4371-aecb-c64631f4aaa0"},{"id":"7623b85a-8839-4955-9ce5-579b61d832b9","company_id":"d3f1a010-47af-48d2-8b4e-a5953078daac","title":"Senior/Staff Product Manager, Vault","slug":"staff-product-manager-vault-22b85be0","description":"WHY HARVEY\n\nAt Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.\n\nThis is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.\n\nOur team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.\n\nAt Harvey, the future of professional services is being written today — and we’re just getting started.\n\n\n\n\nROLE OVERVIEW\n\nAs a Staff Product Manager for Vault at Harvey, you will own and drive the product vision, strategy, and execution for our document and knowledge management platform-a critical foundation that powers how legal professionals interact with Harvey's AI capabilities. Vault enables law firms and enterprise clients to securely store, organize, search, and leverage their documents and institutional knowledge within Harvey's AI-powered ecosystem.\n\nYou will lead cross-functional teams to build and scale Vault's capabilities, including file management, AI-enabled search and Q\u0026A, document extraction, secure sharing across workspaces, and seamless integrations with enterprise document management systems like iManage, SharePoint, and Dropbox. This is a high-impact, high-visibility role where you'll directly shape how the world's leading law firms and enterprises organize and unlock value from their most sensitive documents.\n\n\n\n\n\n\n\nWHAT YOU'LL DO\n\n - Define and own the Vault product vision and roadmap: Develop a compelling product strategy that aligns with Harvey's mission to transform legal and professional services through AI, balancing near-term customer needs with long-term platform investments.\n\n - Drive end-to-end product development: Lead cross-functional teams including engineering, design, AI/ML, and go-to-market to ship high-quality features from ideation through launch and iteration.\n\n - Partner deeply with engineering: Work closely with engineering leadership to make technical and architectural decisions, dive deep into complex problems, and ensure we're building scalable, secure, and performant systems.\n\n - Understand and champion customer needs: Collaborate with Customer Success, Sales, and Legal Product Specialists to deeply understand how law firms and enterprise clients use Vault, identify adoption barriers, and translate insights into product improvements.\n\n - Own enterprise integrations strategy: Drive the vision for how Vault integrates with document management systems (iManage, SharePoint, Dropbox, Box) and other enterprise tools, ensuring seamless workflows for customers.\n\n - Define and track success metrics: Establish KPIs for Vault adoption, engagement, and value realization; use data to inform product decisions and demonstrate customer impact.\n\n - Collaborate cross-functionally: Partner with Product Marketing, Partnerships, and Admin/Governance teams to ensure successful product launches, effective positioning, and alignment with broader platform capabilities.\n\n - Contribute to Harvey's product culture: Mentor other product managers, share learnings, and help establish best practices as the product organization scales.\n\n\n\n\n\n\n\nWHAT YOU HAVE\n\nMust-Have Qualifications:\n\n - 8+ years of product management experience, with at least 3 years at a Staff or Senior PM level at a high-growth technology company.\n\n - Proven track record of owning and scaling complex platform or infrastructure products, ideally in enterprise SaaS, document management, knowledge management, or data-intensive domains.\n\n - Strong technical acumen with the ability to engage deeply with engineering on system design, distributed systems, data pipelines, and retrieval architectures.\n\n - Experience building products that handle sensitive data with robust security, compliance, and access control requirements.\n\n - Excellent communication skills with the ability to influence stakeholders at various levels, from engineers to executives.\n\n - Demonstrated ability to thrive in ambiguous, fast-paced environments and drive clarity through complexity.\n\n - Strong product sense and attention to detail-ability to think through both high-level strategy and nitty-gritty implementation details.\n\nPreferred Qualifications:\n\n - Expe","salary_min":177700,"salary_max":266500,"location":"New York, NY","workplace":"remote","remote_scope":"unknown","job_type":"full-time","experience_level":"lead","tags":["data-pipeline","agents","search","distributed-systems","legal"],"apply_url":"https://jobs.ashbyhq.com/harvey/d1669780-6956-4e5b-bc84-590267c565ea/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-07T23:22:44.243Z","expires_at":"2026-11-13T16:55:18.04337Z","created_at":"2026-07-09T14:02:30.476517Z","updated_at":"2026-10-14T16:55:18.046775Z","company_name":"Harvey AI","company_slug":"harvey-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=harvey.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/7623b85a-8839-4955-9ce5-579b61d832b9"},{"id":"03758f41-63b3-4634-840e-e1f59c2b8c5d","company_id":"d3f1a010-47af-48d2-8b4e-a5953078daac","title":"Senior/Staff Product Manager, Vault","slug":"staff-product-manager-vault-824f7ec9","description":"WHY HARVEY\n\nAt Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.\n\nThis is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.\n\nOur team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.\n\nAt Harvey, the future of professional services is being written today — and we’re just getting started.\n\n\n\n\nROLE OVERVIEW\n\nAs a Staff Product Manager for Vault at Harvey, you will own and drive the product vision, strategy, and execution for our document and knowledge management platform-a critical foundation that powers how legal professionals interact with Harvey's AI capabilities. Vault enables law firms and enterprise clients to securely store, organize, search, and leverage their documents and institutional knowledge within Harvey's AI-powered ecosystem.\n\nYou will lead cross-functional teams to build and scale Vault's capabilities, including file management, AI-enabled search and Q\u0026A, document extraction, secure sharing across workspaces, and seamless integrations with enterprise document management systems like iManage, SharePoint, and Dropbox. This is a high-impact, high-visibility role where you'll directly shape how the world's leading law firms and enterprises organize and unlock value from their most sensitive documents.\n\n\n\n\n\n\n\nWHAT YOU'LL DO\n\n - Define and own the Vault product vision and roadmap: Develop a compelling product strategy that aligns with Harvey's mission to transform legal and professional services through AI, balancing near-term customer needs with long-term platform investments.\n\n - Drive end-to-end product development: Lead cross-functional teams including engineering, design, AI/ML, and go-to-market to ship high-quality features from ideation through launch and iteration.\n\n - Partner deeply with engineering: Work closely with engineering leadership to make technical and architectural decisions, dive deep into complex problems, and ensure we're building scalable, secure, and performant systems.\n\n - Understand and champion customer needs: Collaborate with Customer Success, Sales, and Legal Product Specialists to deeply understand how law firms and enterprise clients use Vault, identify adoption barriers, and translate insights into product improvements.\n\n - Own enterprise integrations strategy: Drive the vision for how Vault integrates with document management systems (iManage, SharePoint, Dropbox, Box) and other enterprise tools, ensuring seamless workflows for customers.\n\n - Define and track success metrics: Establish KPIs for Vault adoption, engagement, and value realization; use data to inform product decisions and demonstrate customer impact.\n\n - Collaborate cross-functionally: Partner with Product Marketing, Partnerships, and Admin/Governance teams to ensure successful product launches, effective positioning, and alignment with broader platform capabilities.\n\n - Contribute to Harvey's product culture: Mentor other product managers, share learnings, and help establish best practices as the product organization scales.\n\n\n\n\n\n\n\nWHAT YOU HAVE\n\nMust-Have Qualifications:\n\n - 8+ years of product management experience, with at least 3 years at a Staff or Senior PM level at a high-growth technology company.\n\n - Proven track record of owning and scaling complex platform or infrastructure products, ideally in enterprise SaaS, document management, knowledge management, or data-intensive domains.\n\n - Strong technical acumen with the ability to engage deeply with engineering on system design, distributed systems, data pipelines, and retrieval architectures.\n\n - Experience building products that handle sensitive data with robust security, compliance, and access control requirements.\n\n - Excellent communication skills with the ability to influence stakeholders at various levels, from engineers to executives.\n\n - Demonstrated ability to thrive in ambiguous, fast-paced environments and drive clarity through complexity.\n\n - Strong product sense and attention to detail-ability to think through both high-level strategy and nitty-gritty implementation details.\n\nPreferred Qualifications:\n\n - Expe","salary_min":177700,"salary_max":266500,"location":"San Francisco, CA","workplace":"remote","remote_scope":"unknown","job_type":"full-time","experience_level":"lead","tags":["search","legal","agents","data-pipeline","distributed-systems"],"apply_url":"https://jobs.ashbyhq.com/harvey/85de4e2f-9ece-40a6-bea4-3ee94bba6c97/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-07T23:22:41.021Z","expires_at":"2026-11-13T16:55:18.036475Z","created_at":"2026-07-09T14:02:30.396235Z","updated_at":"2026-10-14T16:55:18.039836Z","company_name":"Harvey AI","company_slug":"harvey-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=harvey.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/03758f41-63b3-4634-840e-e1f59c2b8c5d"},{"id":"acc7e084-c12e-470c-a730-9ef3a8365961","company_id":"5e8ce7e7-73f0-4ce5-a0c3-7581a059aef6","title":"Member of Technical Staff","slug":"ai-engineer-af8607c8","description":"About Eudia: \n  \n Eudia is redefining the future of legal work with AI-powered Augmented Intelligence, enabling Fortune 500 legal teams to move faster, manage risk more effectively, and unlock new business value. Backed by $105M in Series A funding led by General Catalyst, we’re building a category-defining platform that blends AI-driven automation with human expertise, transforming legal from a cost center into a strategic growth driver. \n  \n At Eudia, we move fast. Unlike traditional enterprise software, our teams ship solutions in days, not months—delivering real impact for some of the world’s largest companies, including Cargill, Coherent, DHL, and Duracell. We’re solving one of the most complex, unsolved challenges in AI: bringing trust, accuracy, and security to legal automation. \n  \n We’re a team of builders, operators, and problem-solvers who are passionate about reshaping an industry that has long been resistant to change. If you’re looking for a place where you’ll be challenged, take ownership from day one, and work alongside some of the brightest minds in AI and legal —we’d love to meet you. \n  \n About the Role: \n  \n We are looking to hire a solutions-minded, AI-focused engineer to join our growing team in Palo Alto. In this role, the candidate will seize a unique opportunity to work with data from Fortune 500 companies' legal and risk departments, developing the most secure, enterprise-grade software using the latest in Generative AI. The opportunity to tackle challenges in creating cloud-agnostic solutions, maintaining stringent security and compliance standards, and building scalable, resilient platforms for enterprise applications, data, AI, and search also exist while you will be able to routinely innovate on behalf of our customers, collaborating with the world's top legal and risk experts, as well as preeminent business, technology, AI professionals, and engineers.\n  \n Key Responsibilities: \n \n \n Work closely with customers to understand and address their AI/ML challenges, designing and deploying custom solutions that leverage company technologies. \n Act as the primary technical contact, providing hands-on support during deployment and ensuring successful integration.\n Collaborate with product management and engineering to convey customer feedback, influencing AI/ML product roadmaps. \n Lead the deployment of AI/ML solutions, ensuring smooth integration and ongoing optimization.\n Provide technical training to clients, identify challenges in AI/ML deployments, and proactively improve model performance.\n Maintain clear communication with all stakeholders, providing regular updates on progress and outcomes.\n \n  \n Qualifications: \n \n \n Master’s or Ph.D. in Computer Science, Machine Learning, AI, Mathematics, Statistics, or a related field.\n 2-5 years of experience in AI/ML engineering, data science, or a similar role, with a strong background in deploying and integrating AI/ML solutions in real-world environments.\n Proficiency in LLMs, RAGs, evaluation techniques, and machine learning frameworks (e.g., TensorFlow, PyTorch) and programming languages such as Python. \n Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and ML services is essential.\n Strong problem-solving skills in diagnosing and resolving AI/ML model issues, including model drift, data quality challenges, and performance optimization.\n Experience in client-facing roles, with excellent communication and interpersonal skills, and the ability to build strong relationships with customers while guiding them through the AI/ML deployment process.\n Familiarity with MLOps practices and tools (e.g., MLflow) and experience in model deployment, monitoring, and continuous integration/continuous deployment (CI/CD) of AI/ML solutions.\n A passion for AI/ML technologies and a desire to work on innovative solutions that drive significant impact for customers.\n \n  \n Preferred Qualifications: \n \n \n Familiarity with applying artificial intelligence and machine learning techniques in customer deployments, particularly in areas such as data analysis, predictive modeling, or automation.\n A background in deploying and supporting software solutions within legal technology or complex enterprise environments, with an understanding of industry-specific challenges and requirements.\n \n  \n Why You’ll Love Working Here: \n \n \n Impactful Work: Be part of a team that’s at the forefront of AI innovation.\n Growth Opportunities: Work in an environment that encourages professional growth and the exploration of new ideas.\n Dynamic Culture: Join a group of passionate, driven individuals who are committed to making a difference.\n \n If you’re ready to take on the challenge and make an impact in a rapidly evolving industry, we want to hear from you! \n --\n Compensation Range: $180K - $210K \n The posted salary range is based on our research for companies of our stage and size while in compliance with California law. This ","salary_min":180000,"salary_max":210000,"location":"Palo Alto, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["legal","generative-ai","tensorflow","fine-tuning","pytorch","llm","mlops"],"apply_url":"https://job-boards.greenhouse.io/eudia/jobs/4019475009","is_featured":false,"is_sticky":false,"status":"active","published_at":"2025-09-05T00:35:16Z","expires_at":"2026-11-13T17:03:07.585399Z","created_at":"2026-04-17T02:26:42.663339Z","updated_at":"2026-10-14T17:03:07.588452Z","company_name":"Eudia","company_slug":"eudia","company_logo_url":"https://www.google.com/s2/favicons?domain=eudia.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/acc7e084-c12e-470c-a730-9ef3a8365961"},{"id":"2751f5a1-e564-4c7b-9cf0-4fbfc9c034e4","company_id":"a0000000-0000-0000-0000-000000000001","title":"Commercial Legal Specialist, Technical AI Implementation","slug":"commercial-legal-specialist-technical-ai-implementation-8d401581","description":"About Anthropic \n Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.\n About the role \n Join Anthropic's Commercial Legal team as a Technical AI implementation specialist, where you'll be responsible for leveraging Claude and other technologies to scale and increase efficiency of legal operations. You'll drive AI adoption across team workflows, optimize internal tooling, and lead cross-functional initiatives to enhance productivity. This role offers the unique opportunity to shape the future of legal operations through technology while working with Claude and other business critical systems.\n Key responsibilities \n \n Implement AI-powered solutions to streamline contract review and redlining processes\n Manage integrations between existing legal systems and AI tools\n Develop automated self-service solutions for high-volume, low-touch contracting processes, including FAQ chatbots and guided workflows\n Create AI-based tools for handling commercial contract diligence requests\n Optimize contract management platforms with AI capabilities\n Create and manage comprehensive program plans, including timelines, budgets, and resource allocation, to guide project execution\n Build and maintain metrics dashboards to track efficiency improvements\n Establish practical governance processes for AI use in legal operations\n Coordinate with Engineering and Product teams on solution development\n Identify and mitigate potential risks and issues that could affect program success, ensuring proactive problem-solving\n \n Minimum qualifications \n \n Experience evaluating and implementing legal technology platforms such as contract management systems, workflow management systems, or document management tools\n Show genuine curiosity about AI/ML applications and hands-on experience with LLM tools (especially Claude!)\n Possess excellent problem-solving skills and can translate legal business needs into scalable technical solutions\n Excel at cross-functional collaboration and can communicate effectively with both technical and legal stakeholders\n Self-directed and can manage multiple technical projects simultaneously\n \n Preferred qualifications \n \n At least 5 years of relevant experience in legal operations, legal technology, or technical roles supporting legal teams\n Technical aptitude with system integration knowledge\n Familiarity with common LLM frameworks and tools or a background in machine learning or data science \n Excellent verbal and written communication, analytical, collaboration, and interpersonal skills\n Proven project management skills, including the ability to prioritize tasks, meet deadlines, manage multiple projects simultaneously, and deliver quality results\n Collaborative team player mindset with genuine interest in technology development and AI, thriving in fast-paced environments\n \n Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco or New York office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time.\n The annual compensation range for this role is listed below. \n For sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.\n Annual Salary:\n $170,000 — $220,000 USD \n Logistics \n Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience\n Required field of study:  A field relevant to the role as demonstrated through coursework, training, or professional experience\n Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position\n Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.\n Visa sponsorship:  We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.\n We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous soc","salary_min":170000,"salary_max":220000,"location":"San Francisco, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["llm","alignment","legal"],"apply_url":"https://job-boards.greenhouse.io/anthropic/jobs/5432000008","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-09-23T00:23:09Z","expires_at":"2026-11-13T16:54:55.27235Z","created_at":"2026-10-14T15:17:21.538189Z","updated_at":"2026-10-14T16:54:55.275398Z","company_name":"Anthropic","company_slug":"anthropic","company_logo_url":"https://www.google.com/s2/favicons?domain=anthropic.com\u0026sz=128","quality_score":85,"url":"https://aidevboard.com/job/2751f5a1-e564-4c7b-9cf0-4fbfc9c034e4"},{"id":"633b32ee-57d9-4657-9fda-053605c55ee5","company_id":"6e93ae2d-dd17-4c38-8893-b9b6fe72a1b2","title":"Director of Brand Events","slug":"director-of-brand-events-963e3aba","description":"About Norm Ai\nNorm Ai, the agentic law company, has a client base with a combined $30 trillion in assets under management.\n\n\nNorm Ai pioneered Legal Engineering, the process that empowers lawyers to build and supervise domain-specific AI agents with Norm’s proprietary suite of no-code software tools. Norm Ai technology is deployed inside many of the largest and most consequential institutions in the world.\n\n\nNorm Ai is also the technology behind Norm Law, LLP, a separate but affiliated AI-native law firm built for the era of agentic AI. Norm Law’s attorneys advise leading institutions across private funds, private equity, venture capital, real estate, registered funds, and financial regulation, using the same legal intelligence platform that powers Norm Ai’s products.\n\nAI Fluency:\nNorm Ai prefers all team members to be fluent in AI. Successful candidates actively use AI in their day-to-day work to support thinking, creation, and problem-solving. They use it to improve the quality and speed of their work and to continuously refine how work gets done end-to-end.\n\nCandidates should be prepared to demonstrate and discuss their AI usage throughout the interview process, including concrete examples of tools, workflows, and outcomes. We look for practical, hands-on experience, not theoretical familiarity.\n\n\n\nTHIS ROLE\n\nNorm is seeking a Director of Brand Events to build flagship programs that strengthen our market position and bring together the people shaping AI, law, regulation, and business. This role exists to establish events as a differentiated brand platform.\n\nReporting to the Head of Marketing, you will own Norm’s brand events strategy and execution end to end. You will determine where Norm should host, partner, sponsor, or create something new, then shape the programming, audience, speakers, partnerships, production, and guest experience.\n\n\n\n\nWHAT YOU’LL DO\n\n - Build the strategy: Create Norm’s brand events roadmap, including flagship programs and original event properties that can grow in reach and influence.\n\n - Identify opportunities: Determine the conversations, audiences, institutions, and market moments where Norm should have a meaningful presence.\n\n - Create exceptional programs: Lead executive forums, policy gatherings, industry events, strategic partnerships, and other high-profile experiences.\n\n - Develop programming and audiences: Shape each event’s purpose, format, content, speakers, and guest list while recruiting influential participants.\n\n - Advise and collaborate: Partner with Norm’s leadership and cross-functional teams on event opportunities, programming, partnerships, and external positioning.\n\n - Own execution: Manage budgets, timelines, agencies, vendors, production, hospitality, and on-site delivery from concept through completion.\n\n - Measure impact: Evaluate programs through strategic relevance, audience quality, relationship value, influence, and brand impact.\n\n\n\nWHAT WE’RE LOOKING FOR\n\n\nCORE QUALIFICATIONS\n\n - Significant experience developing and executing high-profile events for senior and influential audiences.\n\n - Experience developing executive-level programming and preparing senior leaders for public appearances.\n\n - A track record of building an events strategy vs. simply managing an established calendar.\n\n - Strong editorial and programming instincts, with the ability to recognize which conversations are timely and worth creating.\n\n - Exceptional executive presence and credibility with senior internal and external stakeholders.\n\n - The ability to turn an ambitious or ambiguous idea into a clear strategy and exceptional finished experience.\n\n - Strong creative judgment paired with rigorous operational and financial discipline.\n\n\nNICE TO HAVES\n\n - Familiarity with AI, legal technology, regulation, or another complex enterprise category.\n\n - An established network across business, law, government, policy, technology, or academia.\n\n\n\nWHAT SUCCESS LOOKS LIKE\n\n\n30 DAYS\n\n - Develop a strong understanding of Norm’s brand, business priorities, audiences, and existing event commitments.\n\n - Build relationships with key internal stakeholders and assess current partners, processes, and capabilities.\n\n\n60 DAYS\n\n - Present a prioritized brand events strategy, including where Norm should host, partner, sponsor, or decline.\n\n - Define initial concepts, target audiences, potential speakers, budgets, and success measures for priority programs.\n\n\n90 DAYS\n\n - Establish a clear roadmap for Norm’s flagship events and original event properties.\n\n - Move the first priority program into execution with aligned stakeholders, ownership, timelines, and measurement.\n\n\n\nCOMPENSATION AND BENEFITS\n\nBase salary: $185,000 to $230,000 per year\n\nThe range displayed in this job posting reflects the minimum and maximum target for new-hire salary for this position. Within the range, individual pay is determined by various factors, including job-related skills, experience, and relevant educ","salary_min":185000,"salary_max":230000,"location":"New York, NY","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["legal","agents"],"apply_url":"https://jobs.ashbyhq.com/norm-ai/0747260a-ed5c-4379-a395-cab641ed1946/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-09-09T18:29:09.985Z","expires_at":"2026-11-13T16:56:48.980355Z","created_at":"2026-09-10T13:37:22.898358Z","updated_at":"2026-10-14T16:56:48.98339Z","company_name":"Norm AI","company_slug":"norm-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=norm.ai\u0026sz=128","quality_score":85,"url":"https://aidevboard.com/job/633b32ee-57d9-4657-9fda-053605c55ee5"},{"id":"ea6c74ba-7b3f-42c4-aa73-4cc226bced82","company_id":"da5cfe83-4fb2-4ab3-9392-94069a77ae59","title":"Staff Product Manager, AI Data Experience","slug":"staff-product-manager-ai-data-experience-f9e1ecac","description":"Build AI contracting at enterprise scale. Ship it fast.\n\n\n\nIronclad is building AI on one of the most consequential datasets in enterprise software: over 2 billion contracts across thousands of the world's largest organizations. Contracts run every dollar, deal, and business relationship on the planet, and the AI transformation of this space is still largely uncharted. Engineers here are building agentic solutions to problems that haven't been solved yet, in a category that's still being defined. The feedback loop is short, the data is rich, and the people closest to the work are the ones deciding what gets built next. That ability to deliver impact quickly is why the the companies at the forefront of AI choose Ironclad to manage their contracts.\n\n\n\nWe’re consistently recognized as a leader in the industry: a Leader in the Forrester Wave and Gartner Magic Quadrant for Contract Lifecycle Management, a Fortune Great Place to Work, and one of Fast Company’s Most Innovative Workplaces. Ironclad has also been named to Forbes’ AI 50 and Business Insider’s list of Companies to Bet Your Career On. We’re backed by leading investors including Accel, Y Combinator, Sequoia, BOND, and Franklin Templeton. For more information, visit www.ironcladapp.com http://www.ironcladapp.com or follow us on LinkedIn.\n\n\n\nThis PM will own the features and systems that bring contract data into Ironclad and make it useful within the core product experience. This includes importing contracts and related metadata from customer systems, transforming it into reliable and connected knowledge, and exporting data and insights back into the tools and processes customers depend on.\n\n\n\nWe are looking for a Staff Product Manager to bring Ironclad’s strategy to life for the next generation of context-aware products and AI agents. You will define how contract data is ingested, normalized, enriched, connected, governed, and made available across the platform—powering our context knowledge graph and enabling AI agents, search, analytics, and workflows to reason over a customer’s business. You will develop strategies that ensure data is accurate and trustworthy. On top of that context knowledge graph you will build the agent experiences that turn this imported data into action: predicting cycle times, routing work, identifying risk, reconciling contract terms with external systems, and surfacing recommendations to the right people at the right time.\n\n\n\nThis role sits at the intersection of customer problems, data architecture, product strategy, and AI. You will determine which data Ironclad needs to capture, how it should be represented, how we preserve meaning and provenance as it moves through the platform, and how customers can trust, correct, and act on it. You will partner closely with the Search and Contract Understanding Platform, whose team turns contracts into accurate, structured, actionable knowledge. Together, you will create a durable data foundation that makes that knowledge available across products and connected to the systems and business context around it.\n\n\n\nThis is a high-impact role for a product leader who can move comfortably between customer discovery, data modeling, technical architecture, detailed requirements, and cross-functional execution.\n\n\n\n\nRESPONSIBILITIES\n\n - Own the data import experience and product features. Make it easy for customers to bring in contracts and metadata from communications platforms, 3rd party repositories, shared drives, and other business applications while preserving structure, relationships, permissions, and provenance.\n\n - Build upon Ironclad’s context knowledge graph foundation. Define how contracts, clauses, terms, entities, workflows, approvals, counterparties, obligations, and related business objects are connected so Ironclad can provide context—not just isolated fields—to users and AI systems.\n\n - Make data useful across the platform. Establish the shared schemas, APIs, events, identifiers, lineage, and access patterns that let Search, Smart Import, Workflows, Analytics, and AI Agents build on consistent, trusted data. Ensure imported data can support both interactive experiences and background agents that continuously monitor, predict, validate, and act throughout the contracting process.\n\n - Build AI agents on imported data. Partner with AI, Engineering, Design, and domain experts to identify high-value agent use cases, define the data and context each agent needs, and ship agents that predict, recommend, triage, validate, reconcile, and execute work across legal, procurement, sales, finance, and operations. Own the quality bar for agent behavior, including grounding, explainability, human-in-the-loop controls, evaluation, monitoring, and safe failure modes.\n\n - Create a data quality and trust flywheel. Define completeness, accuracy, freshness, consistency, lineage, and coverage metrics; build feedback loops; and ensure customers can understand, validate, correct, an","salary_min":210000,"salary_max":255000,"location":"San Francisco, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["legal","agents"],"apply_url":"https://jobs.ashbyhq.com/ironcladhq/50b0adf4-9d9b-42f6-a62b-587eb20ced74/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-09-09T15:17:29.444Z","expires_at":"2026-11-13T16:58:49.174225Z","created_at":"2026-09-10T13:42:37.426607Z","updated_at":"2026-10-14T16:58:49.177269Z","company_name":"Ironclad","company_slug":"ironclad","company_logo_url":"https://www.google.com/s2/favicons?domain=ironcladapp.com\u0026sz=128","quality_score":85,"url":"https://aidevboard.com/job/ea6c74ba-7b3f-42c4-aa73-4cc226bced82"},{"id":"287d661a-0b13-49b7-9545-dfcedb3a193f","company_id":"d3f1a010-47af-48d2-8b4e-a5953078daac","title":"Staff Software Engineer, OfficeJS","slug":"seniorstaff-software-engineer-officejs-c2bc0dc1","description":"WHY HARVEY\n\nAt Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.\n\nThis is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.\n\nOur team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.\n\nAt Harvey, the future of professional services is being written today — and we’re just getting started.\n\n\n\n\n\n\n\nROLE OVERVIEW\n\nLegal professionals spend most of their day in Microsoft Word: drafting, reviewing, and refining complex documents that shape meaningful outcomes. Harvey in Word brings AI-powered capabilities directly into Word, enabling lawyers to draft faster, run playbook reviews, and perform agentic editing, all without leaving their workflow. It's one of our most strategic product lines and a key part of how we meet lawyers where they already work.\n\n\n\nAs a Staff Software Engineer on the Embedded Experiences team, you will own and lead the development of Harvey in Word, our Microsoft Office Add-in built on OfficeJS, alongside our other Microsoft Office integrations. You'll architect and ship features that integrate seamlessly with Word, handling the unique challenges of building performant, polished experiences within the Office Add-in environment.\n\n\n\nWe're looking for someone with deep expertise in OfficeJS and Office Add-in development, ideally from building a similar product at scale. You'll join a team of highly motivated, skilled engineers who hold everything they touch to the highest standards, from architecture to code to user experience. You may also contribute to our Outlook integration and help build the next generation of agentic AI interfaces across the Microsoft suite.\n\n\n\nThis role is based in New York, NY. We use a hybrid in-person work model and offer relocation assistance to new employees.\n\n\n\n\n\n\n\nWHAT YOU'LL DO\n\n - Own and lead the technical direction of Harvey in Word, our flagship Office Add-in product, alongside our other Microsoft Office integrations.\n\n - Build the AI-native editing experience: agentic document rewrites, real-time redlining, and playbook automation that transforms how lawyers work\n\n - Design and build sophisticated integrations with Microsoft Word using the OfficeJS API, including document manipulation, playbook reviews, and AI-assisted drafting\n\n - Architect scalable, maintainable solutions that handle the constraints and quirks of the Office Add-in environment across platforms (Windows, Mac, Web)\n\n - Build polished, high-performance interfaces with crisp interactions and resilient error handling\n\n - Collaborate with product, design, and backend teams to shape APIs and UX for AI-powered features like streaming results and tool-calling workflows\n\n - Navigate Office Add-in requirement sets, versioning, and cross-platform compatibility to ensure broad, reliable support\n\n - Contribute to Harvey in Outlook and shape the next generation of agentic AI interfaces across the Microsoft suite\n\n - Mentor engineers, drive technical decisions, and raise the bar on quality and developer experience\n\n\n\n\nWHAT YOU HAVE\n\n - 5+ years of software engineering experience, with significant depth in Office Add-in development using OfficeJS\n\n - Experience building and shipping a production Office Add-in product, ideally one used at enterprise scale\n\n - Strong proficiency in JavaScript/TypeScript, HTML, and CSS\n\n - Deep understanding of Office Add-in architecture, requirement sets, manifest configuration, and cross-platform considerations\n\n - Experience with React or similar modern frontend frameworks\n\n - Track record of shipping highly intuitive products with strong attention to detail\n\n - Familiarity with Microsoft Office Add-in guidelines and AppSource submission process is a plus\n\n\nNICE TO HAVE\n\n - Experience with Outlook Add-ins or other Microsoft 365 integrations (SharePoint, Teams)\n\n - Background in legal tech or enterprise SaaS\n\n - Experience building products that integrate with AI/LLM capabilities\n\n\n\n\nCOMPENSATION RANGE\n\n$231,000 - $340,000\n\n\n\n\nDEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE ht","salary_min":231000,"salary_max":340000,"location":"New York, NY","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["legal","agents","llm"],"apply_url":"https://jobs.ashbyhq.com/harvey/8c07cb74-765a-46ea-a0f1-795f45597d79/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-06-25T23:39:43.797Z","expires_at":"2026-11-13T16:55:17.824506Z","created_at":"2026-04-13T09:37:54.442927Z","updated_at":"2026-10-14T16:55:17.827351Z","company_name":"Harvey AI","company_slug":"harvey-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=harvey.ai\u0026sz=128","quality_score":85,"url":"https://aidevboard.com/job/287d661a-0b13-49b7-9545-dfcedb3a193f"},{"id":"b1bfcf0a-0c3c-4b17-92c0-e54db7a1c6cf","company_id":"d3f1a010-47af-48d2-8b4e-a5953078daac","title":"Staff Software Engineer, OfficeJS","slug":"seniorstaff-software-engineer-officejs-031bc696","description":"WHY HARVEY\n\nAt Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.\n\nThis is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.\n\nOur team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.\n\nAt Harvey, the future of professional services is being written today — and we’re just getting started.\n\n\n\n\nROLE OVERVIEW\n\nLegal professionals spend most of their day in Microsoft Word: drafting, reviewing, and refining complex documents that shape meaningful outcomes. Harvey in Word brings AI-powered capabilities directly into Word, enabling lawyers to draft faster, run playbook reviews, and perform agentic editing, all without leaving their workflow. It's one of our most strategic product lines and a key part of how we meet lawyers where they already work.\n\n\n\nAs a Staff Software Engineer on the Embedded Experiences team, you will own and lead the development of Harvey in Word, our Microsoft Office Add-in built on OfficeJS, alongside our other Microsoft Office integrations. You'll architect and ship features that integrate seamlessly with Word, handling the unique challenges of building performant, polished experiences within the Office Add-in environment.\n\n\n\nWe're looking for someone with deep expertise in OfficeJS and Office Add-in development, ideally from building a similar product at scale. You'll join a team of highly motivated, skilled engineers who hold everything they touch to the highest standards, from architecture to code to user experience. You may also contribute to our Outlook integration and help build the next generation of agentic AI interfaces across the Microsoft suite.\n\n\n\nThis role is based in San Francisco, CA. We use a hybrid in-person work model and offer relocation assistance to new employees.\n\n\n\n\n\n\n\nWHAT YOU'LL DO\n\n - Own and lead the technical direction of Harvey in Word, our flagship Office Add-in product, alongside our other Microsoft Office integrations.\n\n - Build the AI-native editing experience: agentic document rewrites, real-time redlining, and playbook automation that transforms how lawyers work\n\n - Design and build sophisticated integrations with Microsoft Word using the OfficeJS API, including document manipulation, playbook reviews, and AI-assisted drafting\n\n - Architect scalable, maintainable solutions that handle the constraints and quirks of the Office Add-in environment across platforms (Windows, Mac, Web)\n\n - Build polished, high-performance interfaces with crisp interactions and resilient error handling\n\n - Collaborate with product, design, and backend teams to shape APIs and UX for AI-powered features like streaming results and tool-calling workflows\n\n - Navigate Office Add-in requirement sets, versioning, and cross-platform compatibility to ensure broad, reliable support\n\n - Contribute to Harvey in Outlook and shape the next generation of agentic AI interfaces across the Microsoft suite\n\n - Mentor engineers, drive technical decisions, and raise the bar on quality and developer experience\n\n\n\n\nWHAT YOU HAVE\n\n - 5+ years of software engineering experience, with significant depth in Office Add-in development using OfficeJS\n\n - Experience building and shipping a production Office Add-in product, ideally one used at enterprise scale\n\n - Strong proficiency in JavaScript/TypeScript, HTML, and CSS\n\n - Deep understanding of Office Add-in architecture, requirement sets, manifest configuration, and cross-platform considerations\n\n - Experience with React or similar modern frontend frameworks\n\n - Track record of shipping highly intuitive products with strong attention to detail\n\n - Familiarity with Microsoft Office Add-in guidelines and AppSource submission process is a plus\n\n\nNICE TO HAVE\n\n - Experience with Outlook Add-ins or other Microsoft 365 integrations (SharePoint, Teams)\n\n - Background in legal tech or enterprise SaaS\n\n - Experience building products that integrate with AI/LLM capabilities\n\n\n\n\n\n\n\nCOMPENSATION RANGE\n\n$231,000 - $340,000\n\n\n\n\nDEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HE","salary_min":231000,"salary_max":340000,"location":"San Francisco, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["agents","legal","llm"],"apply_url":"https://jobs.ashbyhq.com/harvey/daad560f-c851-4cb9-89ac-efb2186c4031/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-06-25T23:38:45.715Z","expires_at":"2026-11-13T16:55:17.818009Z","created_at":"2026-04-13T09:37:54.372176Z","updated_at":"2026-10-14T16:55:17.820789Z","company_name":"Harvey AI","company_slug":"harvey-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=harvey.ai\u0026sz=128","quality_score":85,"url":"https://aidevboard.com/job/b1bfcf0a-0c3c-4b17-92c0-e54db7a1c6cf"},{"id":"bddcd175-5bd2-4df1-b3d7-a148650f8353","company_id":"d3f1a010-47af-48d2-8b4e-a5953078daac","title":"Innovation Product Manager","slug":"innovation-product-manager-6cb5d62b","description":"WHY HARVEY\n\nAt Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.\n\nThis is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.\n\nOur team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.\n\nAt Harvey, the future of professional services is being written today — and we’re just getting started.\n\n\n\n\nROLE OVERVIEW\n\nThis role blends elements of product management, innovation strategy, solutions design, and forward-deployed partnership. You’ll work directly with leading law firms and corporate legal teams to translate messy, high-value legal work into AI-powered workflows — and ensure they succeed in production.\n\nWe don’t build software for lawyers; we build it with them. Our teams sit shoulder-to-shoulder with partners, associates, innovation groups, and CIOs to understand problems at depth, design first-of-kind workflows, and ship products that reshape how legal work gets done.\n\n\n\n\nWHAT YOU’LL DO\n\n - Serve as a thought partner to top global law firms and enterprises — diagnosing pain points, mapping high-value opportunities, and guiding how Harvey integrates into their practice.\n\n - Work with the go-to-market team to shape pilots and deployments end-to-end: discovery, workflow design, testing, onboarding, iteration, and firm-wide rollout.\n\n - Work with innovation leaders, legal operations, and practice groups alongside Customer Success — ensuring the platform becomes embedded in day-to-day legal work\n\n - Translate user insights into product direction to influence roadmap\n\n - Help clients evaluate the business impact of AI — from improving associate leverage to transforming workflows across practices like M\u0026A, litigation, regulatory, and transactions.\n\n - Shape how the legal industry adapts to AI. You’ll be in the room where the new operating model of law is being defined.\n\n\n\n\nWHAT YOU HAVE\n\nYou come from the legal world, but you’ve always gravitated toward innovation, experimentation, and systems thinking. You’ve seen how complex legal work happens in practice — and you’re excited to redesign it with cutting-edge AI.\n\nYou’ll thrive here if you:\n\n - Have experience at a top law firm or in-house legal team; innovation, legal ops, or consulting experience is a plus.\n\n - Familiarity with the legal tech ecosystem as an employee, founder, or advisor to legal tech startups\n\n - Are product-savvy and tech-curious. You’re not expected to code, but you can navigate conversations about generative AI, workflow design, privacy, governance, and enterprise rollout.\n\n - Communicate with clarity and confidence across roles — partners, associates, engineers, PMs, CIOs, and legal ops.\n\n - Can independently run multiple client engagements in parallel.\n\n - Care deeply about quality and user outcomes while keeping a strong bias for action.\n\n - Are energized by building something new in a domain going through its biggest shift in decades.\n\n\n\n\nCOMPENSATION\n\n$178,500 - $241,500 USD\n\n\n\n\nDEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922].\n\n\n\n#LI-CL1\n\n\n\nHarvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.\n\nWe are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai","salary_min":178500,"salary_max":241500,"location":"New York, NY","workplace":"remote","remote_scope":"unknown","job_type":"full-time","experience_level":"senior","tags":["legal","agents","generative-ai"],"apply_url":"https://jobs.ashbyhq.com/harvey/e5272fbe-4431-4841-bf00-b9f59812b82a/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2025-12-11T16:20:46.621Z","expires_at":"2026-11-13T16:55:17.803655Z","created_at":"2026-04-13T09:37:53.460121Z","updated_at":"2026-10-14T16:55:17.80663Z","company_name":"Harvey AI","company_slug":"harvey-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=harvey.ai\u0026sz=128","quality_score":85,"url":"https://aidevboard.com/job/bddcd175-5bd2-4df1-b3d7-a148650f8353"},{"id":"3aedcc7c-cc09-47fc-b611-1758c02b4721","company_id":"099a8aa7-a1bc-4a90-aa8d-f59f677b925a","title":"Senior Manager, Legal Operations","slug":"senior-manager-legal-operations-a7108257","description":"Agility’s commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers—tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, we're pioneering a new era of automation that enhances human potential.\n Role Overview \n The Senior Manager, Legal Operations will provide strategic leadership for the company’s legal operations function, focusing on optimizing processes and driving organizational efficiency. This role oversees those providing legal assistance to lawyers and attorneys in executing legal transactions, and securing, preparing, drafting, and processing legal documents at a more senior level. Working closely with executive leadership and Finance, the Senior Manager will define the operational roadmap for the legal department as the company scales. \n The ideal candidate is a strategic leader with a proven track record of managing high-performing teams and implementing scalable legal technologies and workflows in a fast-paced environment. \n Key Responsibilities \n Corporate Governance \u0026 Entity Management \n \n Direct corporate governance processes, including the maintenance of corporate records and governance documentation \n Oversee and prepare the distribution of Board of Directors and committee meeting materials, resolutions, and related governance documentation \n Coordinate Board and committee meeting logistics and documentation \n Manage corporate entity structures and subsidiary records across domestic and international jurisdictions \n Maintain corporate capitalization records and assist with equity administration coordination \n Lead the legal operations teams, including performance management, coaching, and professional development initiatives \n \n Securities \u0026 Public Company Compliance \n \n Assist with preparation and filing of public company reports, including Forms 10-K, 10-Q, and 8-K \n Support development and maintenance of disclosure controls and procedures \n Coordinate with Finance and external counsel on securities law compliance matters \n Maintain documentation related to insider trading policies and reporting requirements \n \n Strategic Transactions \u0026 Corporate Projects \n \n Support legal aspects of corporate transactions, including acquisitions, financings, and strategic partnerships \n Assist with due diligence coordination and document management \n Maintain transaction documentation and closing records \n \n Legal Operations \u0026 Contract Support \n \n Direct contract lifecycle management and legal documentation workflows to improve turnaround times \n Manage legal department records, document management systems, and legal technology implementations \n Assist with contract template management and workflow processes \n Identify and implement process improvements and strategic planning for long-term department scalability \n Coordinate signatures and approvals through electronic signature platforms \n \n Compliance \u0026 Cross-Functional Support \n \n Assist with development and maintenance of corporate policies and compliance programs \n Partner with Finance, HR, and other teams to support governance and compliance initiatives \n Track regulatory filings, deadlines, and corporate reporting requirements \n \n   \n Qualifications \n \n 10+ years of legal operations or paralegal experience, with significant time in leadership capacity \n Proven experience in a management role overseeing legal operations teams and complex workflows \n Experience supporting corporate governance and securities compliance preferred \n Experience at a public company or late-stage pre-IPO company strongly preferred \n Prior law firm or in-house legal department experience \n Strong knowledge of corporate governance processes and entity management \n Experience supporting Board and committee meetings \n Exceptional organizational skills and attention to detail \n \n Technical Skills \n \n Entity management platforms (e.g., Carta, Shareworks, or similar) \n Document management systems \n Electronic signature tools (e.g., DocuSign) \n Microsoft Office and legal workflow tools \n \n Leadership Profile \n \n Strategic decision-maker with the ability to translate legal needs into operational solutions \n Proven people leader focused on team development, mentorship, and performance excellence \n Strong organizational influence with the ability to drive cross-functional alignment across Legal, Finance, and HR \n High level of professionalism and discretion \n \n This is a fully remote role with the option to work hybrid if a commutable distance from our Salem, OR, Pittsburgh, PA, or Fremont, CA offices. \n The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: market location, job-related knowledge, skills, and experience. This range may change based on geographical location and may be modified in the future. \n Antici","salary_min":145000,"salary_max":227000,"location":"Remote","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["legal","robotics"],"apply_url":"https://www.agilityrobotics.com/about/job-post?gh_jid=6174264004","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-09-02T16:23:54Z","expires_at":"2026-11-13T16:59:26.147709Z","created_at":"2026-09-03T13:43:54.948048Z","updated_at":"2026-10-14T16:59:26.15039Z","company_name":"Agility Robotics","company_slug":"agility-robotics","company_logo_url":"https://www.google.com/s2/favicons?domain=agilityrobotics.com\u0026sz=128","quality_score":80,"url":"https://aidevboard.com/job/3aedcc7c-cc09-47fc-b611-1758c02b4721"},{"id":"1cdb4e7e-62be-478e-9304-f0facac4ee4c","company_id":"3c2951f9-c508-429e-8937-580696b53fc9","title":"Principal, Legal AI Engineering","slug":"principal-legal-ai-engineering-420394f9","description":"Know where you belong!\n\nMatch Group is a leading provider of dating products across the globe. Our portfolio includes Tinder, Hinge, Match, Meetic, PlentyOfFish, OkCupid, The League, HER, and others, each designed to spark meaningful connections for singles worldwide. Creating a sense of belonging doesn’t stop at our products - it’s the foundation of every team we hire.\n \nWhen it comes to dating, the connection starts online, but the real magic happens once you meet in real life (IRL).  We think the same is true for creating the best platforms, so we work together IRL 3 days/week.\n\n\nThe Role\nMatch Group runs some of the most-used apps in the world, including Tinder, Hinge, Match, OkCupid, and Plenty of Fish, for tens of millions of people in 170+ countries. That makes our legal work unusually interesting: privacy for some of the most personal data people share, trust and safety at global scale, AI features shipping into consumer products, and regulation that keeps moving.\nThis role sits at the intersection of legal practice and applied AI, closer to an in-house R\u0026D function than a traditional legal team role. It's for a tech-forward builder, an engineer or product person, who can find where AI can do legal work that humans do today (or work humans can't do at scale), prototype and ship tools and agents to handle it, and iterate with lawyers in the loop until those tools are part of how the function runs.\nThis is about applying AI to the substance of legal work: the research, analysis, judgment calls, contract review, and regulatory tracking that lawyers do every day. It is not about optimizing existing processes or rolling out off-the-shelf legal tech. You'll build things that didn't exist before, prototype quickly, evaluate rigorously, and ship what works.\nYou'll serve brands across Match Group's portfolio (Tinder, Hinge, Match, OkCupid, Plenty of Fish, and others) and work with Legal leadership and attorneys as your domain experts and end users. You'll partner with engineering, product, and other technical teams where deeper infrastructure is needed. You'll have a mandate to pick where to start, prove value, and scale what works across brands.\n","salary_min":150000,"salary_max":220000,"location":"West Hollywood, California","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"principal","tags":["legal"],"apply_url":"https://jobs.lever.co/matchgroup/2cd2616d-a5b9-4514-961e-da95fb60112a/apply","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-06-18T18:42:27.312Z","expires_at":"2026-11-13T17:01:43.90876Z","created_at":"2026-10-14T15:24:32.197124Z","updated_at":"2026-10-14T17:01:43.911535Z","company_name":"Match Group","company_slug":"match-group","company_logo_url":"https://www.google.com/s2/favicons?domain=mtch.com\u0026sz=128","quality_score":80,"url":"https://aidevboard.com/job/1cdb4e7e-62be-478e-9304-f0facac4ee4c"},{"id":"8832310f-ef4b-459e-8c9f-715307fe603d","company_id":"5e8ce7e7-73f0-4ce5-a0c3-7581a059aef6","title":"AI Engineer Intern","slug":"ai-engineer-intern-d9d99c94","description":"About Eudia: \n  \n Eudia is redefining the future of legal work with AI-powered Augmented Intelligence, enabling Fortune 500 legal teams to move faster, manage risk more effectively, and unlock new business value. Backed by $105M in Series A funding led by General Catalyst, we’re building a category-defining platform that blends AI-driven automation with human expertise, transforming legal from a cost center into a strategic growth driver. \n  \n At Eudia, we move fast. Unlike traditional enterprise software, our teams ship solutions in days, not months—delivering real impact for some of the world’s largest companies, including Cargill, Coherent, DHL, and Duracell. We’re solving one of the most complex, unsolved challenges in AI: bringing trust, accuracy, and security to legal automation. \n  \n We’re a team of builders, operators, and problem-solvers who are passionate about reshaping an industry that has long been resistant to change. If you’re looking for a place where you’ll be challenged, take ownership from day one, and work alongside some of the brightest minds in AI and legal —we’d love to meet you. \n  \n \n About the Role: \n We are seeking a highly motivated and innovative AI Engineer Intern for either the spring or summer to join our growing team in Palo Alto. This internship offers an exceptional opportunity to work on challenging Machine Learning / Gen AI problems in the legal domain. As an intern, you will collaborate with experienced AI researchers and engineers to solve enterprise-grade AI problems across Content AI, Document AI, and the applications built on top of them, including evaluating and fine-tuning both open-source and closed-source models, improving retrieval and reasoning quality, and testing AI systems for accuracy, reliability, and performance. This is a hands-on opportunity to contribute to real-world AI applications, tackle fundamental challenges in deep learning, and gain exposure to production-grade AI systems.\n As an intern, you will work alongside experienced engineers and professionals to solve real-world problems, create impactful AI solutions, and learn from the best in the field.\n Key Responsibilities: \n \n Assist in designing and implementing AI/ML solutions to address customer-specific challenges.\n Collaborate with senior engineers to build, test, and deploy machine learning models in production environments.\n Support the development of cloud-agnostic and secure enterprise-grade software solutions.\n Participate in troubleshooting and optimizing AI/ML models, addressing issues such as model drift and performance bottlenecks.\n Conduct research and analysis to improve model efficiency and accuracy.\n Help develop and maintain documentation for AI workflows and deployment processes.\n Provide input on product development and contribute to enhancing the AI/ML product roadmap.\n \n Qualifications: \n \n Currently pursuing a Bachelor's or Master's in Computer Science, Machine Learning, AI, Mathematics, Statistics, or a related field.\n Experience with traditional machine learning, deep learning, LLMs, Retrieval-Augmented Generation (RAG), or other NLP techniques.\n Familiarity with MLOps practices and tools such as MLflow for monitoring and deploying machine learning solutions.\n Exposure to real-world projects involving data analysis, predictive modeling, or automation.\n Interest in the legal technology domain or experience working with enterprise-grade systems.\n \n Why You’ll Love Working Here: \n \n \n Impactful Work: Be part of a team that’s at the forefront of AI innovation.\n Growth Opportunities: Work in an environment that encourages professional growth and the exploration of new ideas.\n Dynamic Culture: Join a group of passionate, driven individuals who are committed to making a difference.\n \n If you’re ready to take on the challenge and make an impact in a rapidly evolving industry, we want to hear from you!","location":"Palo Alto, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"junior","tags":["nlp","generative-ai","llm","deep-learning","legal","rag","fine-tuning","mlops"],"apply_url":"https://job-boards.greenhouse.io/eudia/jobs/4020078009","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-09-08T19:58:26Z","expires_at":"2026-11-13T17:03:07.557954Z","created_at":"2026-09-09T13:50:02.062497Z","updated_at":"2026-10-14T17:03:07.56229Z","company_name":"Eudia","company_slug":"eudia","company_logo_url":"https://www.google.com/s2/favicons?domain=eudia.com\u0026sz=128","quality_score":60,"url":"https://aidevboard.com/job/8832310f-ef4b-459e-8c9f-715307fe603d"},{"id":"f4e4c566-d4d1-42bf-9816-2831f57db1a5","company_id":"57a9b50d-a69a-4f6f-9acb-910495c3c359","title":"Member of Technical Staff, Enterprise Foundations","slug":"member-of-technical-staff-enterprise-foundations-f2af5e24","description":"ABOUT US:\n\nFireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.\n\n\nTHE ROLE\n\nEnterprise Foundations builds the capabilities the largest companies in the world need before they can run their business on Fireworks. Global banks, insurers, healthcare and legal technology companies, and large-scale SaaS platforms are moving AI into production now, and they arrive with requirements that only apply to scaled companies: how their organization and users are modeled, who is allowed to do what, how usage is metered and billed, what gets logged, where data lives and who holds the keys, and whether the whole thing can run inside their own cloud.\n\nYou will own that work as end-to-end features. A single project routinely starts in a customer conversation, becomes a change to a core data model or API, and then has to be threaded through the control plane, the training and inference stacks, the SDK and CLI, and the console before it counts as shipped. Much of what we build is a foundational shift rather than an addition: a new primitive that other teams' code has to move onto, rolled out against live production traffic without breaking anyone.\n\nThe work sits close to revenue. Requirements come out of live enterprise deals, security reviews, and customer conversations. You will be in those rooms, decide what product becomes, and go build it.\n\n\n\n\nWHAT YOU'LL DO\n\n - Own foundational capabilities end to end — data model and API through control plane, runtime, SDK/CLI, and console — and migrate live systems onto them\n\n - Design the primitives large customers organize around — organizations and sub-accounts, groups, roles, service identities — and connect them to enterprise directories through federation and provisioning (SSO, SCIM)\n\n - Design multi-tenant authorization, policy enforcement, and audit systems that hold up in front of a security architect\n\n - Make usage metering, spend controls, and billing correct and legible at scale — customers reconcile our numbers against their own\n\n - Own data isolation and key management — customer-managed encryption keys across AWS, GCP, and Azure — threaded through datasets, fine-tuning, RL, checkpoints, models, and inference\n\n - Deploy and operate Fireworks inside a customer's own cloud, and solve data residency and regional isolation for customers with hard constraints\n\n - Use AI tooling aggressively — we expect you to automate yourself\n   \n   \n\n\nYOU MIGHT BE A FIT IF\n\n - You want your work measured in unblocked revenue, not tickets closed\n\n - You're comfortable owning domains you've never worked in before\n\n - You want the whole problem — data model through UI — and don't need someone else to draw the edges for you\n\n - You can hold your own with an enterprise security architect\n\n - You'd rather ship what closes the deal than perfect the abstraction\n\n - You treat ambiguity as the job, not a complaint about the job\n   \n   \n\n\nMINIMUM QUALIFICATIONS\n\n - 4+ years building and operating production backend or distributed systems at scale\n\n - Strong server-side engineering skills in Go, Python, C++, TypeScript, or similar, and willingness to work outside your primary layer to land a feature\n\n - Experience designing APIs and data models that other teams build on, and evolving them under live traffic without breaking callers\n\n - Hands-on depth in at least one major cloud (AWS, GCP, or Azure): IAM and workload identity, KMS, object storage, and VPC networking\n\n - A track record of owning an ambiguous, cross-team workstream from requirement through production\n\n - Willingness to work directly with customers\n   \n   \n\n\nPREFERRED QUALIFICATIONS\n\n - Enterprise identity and tenancy: SSO, SCIM provisioning, RBAC/ABAC, audit logging, and org modeling\n\n - Metering, quotas, or billing systems where correctness is customer-visible\n\n - Applied cryptography and key management: envelope encryption, KMS, and threat modeling\n\n - Kubernetes depth and infrastructure-as-code fluency (Terraform, GitOps)\n\n - Familiarity with LLM inference and fine-tuning — our work runs straight through the training and serving stacks, so it helps\n\n\nWHY FIREWORKS?\n\n - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.\n\n - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.\n\n - Ownership \u0026 Impact: Join a fast-growing, pass","location":"New York, NY","workplace":"remote","remote_scope":"unknown","job_type":"full-time","experience_level":"lead","tags":["payments","legal","distributed-systems","cloud","fine-tuning","mlops","llm","healthcare"],"apply_url":"https://jobs.ashbyhq.com/fireworks/89d811de-2505-4173-bf37-b173ce53ecf1/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-07T17:53:16.901Z","expires_at":"2026-11-13T16:55:10.507939Z","created_at":"2026-10-14T15:36:10.252342Z","updated_at":"2026-10-14T16:55:10.510891Z","company_name":"Fireworks AI","company_slug":"fireworks-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=fireworks.ai\u0026sz=128","quality_score":60,"url":"https://aidevboard.com/job/f4e4c566-d4d1-42bf-9816-2831f57db1a5"}],"page":1,"per_page":20,"total":32,"total_is_exact":true,"total_pages":2}